Charlin_Laurent_6835-700x400
Dr. Laurent Charlin
HEC Montréal
Dr. Laurent Charlin develops novel machine learning models, particularly probabilistic graphical models, to help in decision making. His recent work has focussed on extending the capabilities of recommender systems. He is generally interested in applying learning methods to analyze different data.

Publications

Conference papers

D. Liang, J. Altosaar, L. Charlin, D. M. Blei, 2016. Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence. Proceedings of the 10th ACM Conference on Recommender Systems, 59-66, Boston, Massachusetts, USA – September 15-19, 2016. doi>10.1145/2959100.2959182

[ACM]

D. Liang, L. Charlin, J. Mclnerney, D. M. Blei, 2016. Modeling User Exposure in Recommendation. International World Wide Web Conferences Steering Committee, 951-961. Proceedings of the 25th International Conference on World Wide Web. doi>10.1145/2872427.2883090

[ACM]

L. Charlin, R. Ranganath, J. Mclnerney, D. M. Blei, 2015. Dynamic Poisson Factorization. Proceedings of the 9th ACM Conference on Recommender Systems, 155-162, Vienna, Austria – September 16 – 20, 2015. doi>10.1145/2792838.2800174

[ACM ]

Working papers

I. V. Serban, R. Lowe, L. Charlin, J. Pineau, 2016. Generative Deep Neural Networks for Dialogue: A Short Review. arXiv preprint arXiv:1611.06216.

I. V. Serban, A. Sordoni, R. Lowe, L. Charlin, J. Pineau, A. Courville, Y. Bengio, 2016. A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. arXiv preprint arXiv:1605.06069

R. Lowe, I. V. Serban, M. Noseworthy, L. Charlin, J. Pineau, 2016. On the Evaluation of Dialogue Systems with Next Utterance Classification. arXiv preprint arXiv:1605.05414

C-W. Liu, R. Lowe, I. V. Serban, M. Noseworthy, L. Charlin, J. Pineau, 2016. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation.  arXiv preprint arXiv:1603.08023.

I. V. Serban, R. Lowe, L. Charlin, J. Pineau, 2015. A Survey of Available Corpora For Building Data-Driven Dialogue Systems. arXiv preprint arXiv:1512.05742.